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- W2570661310 abstract "Nutrition and obesity related diseases are now become dangerous to human health. Now a days people go on dieting and not taking proper care of their health and food intake calories. So to solve these problems a system is developed which is automatic dietary food intake detection system by using wearable sensors. It consists of embedded system and signal processing system in which food intake is sensed by high fidelity microphone and signal is pre-processed by embedded hardware part and through bluetooth it is sent to smart phone. Here we have used hidden markov models to recognize chewing and swallowing events to extract time and frequency domain features as well as volume and weight of food intake. Algorithm for decision is developed for types of food detection. For e.g. in diet control patient suffering from diabetes precisely monitor daily food intake. An application on smart phone is developed to show the results of food intake as well as give guidance for better eating habits." @default.
- W2570661310 created "2017-01-13" @default.
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- W2570661310 date "2016-01-01" @default.
- W2570661310 modified "2023-10-05" @default.
- W2570661310 title "Food Intake Detection System Through Autodietry Using Acoustic Sensors" @default.
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- W2570661310 doi "https://doi.org/10.1007/978-981-10-3433-6_57" @default.
- W2570661310 hasPublicationYear "2016" @default.
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